Built For AI
A Practitioner's Guide to Moving Beyond Pilots and Building Enterprise AI Capability at Scale
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- $11.99
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- $11.99
Publisher Description
AI adoption is soaring. AI investment is accelerating. Enterprise returns are not.
The problem is not the technology. The AI is ready. Is your enterprise? Built for AI shows leaders how to move beyond disconnected pilots and build an enterprise that turns AI investment into measurable business value and lasting competitive advantage.
Drawing on decades of hands-on experience implementing emerging technology inside global enterprises, Punit Vir and John H. Dobbs show why the organizations that win with AI will be the ones capable of absorbing it into their strategy, their workflows, their decisions, and the way they create value.
At the center of the book is the Built for AI Framework: the enterprise capabilities that together determine Enterprise Absorption Capacity, the organization's ability to turn AI potential into measurable business value. Around the framework is a practical working toolset: the Built for AI Strategy Canvas, the Enterprise AI Pattern Map with eight implementation patterns from Copilot to Physical AI, the Enterprise AI Profile, the Vital Few, the Judgment Boundary, and the Built for AI Readiness Diagnostic.
Built for AI will help you:
Escape the pilot trap: understand why promising AI initiatives stall before enterprise scale, and fix the underlying problem instead of funding another experiment.
Invest where it builds return: fund the Vital Few initiatives with a credible path to scale and payback, and stop the ones that do not.
Redesign work, not just automate tasks: change how decisions, handoffs, and accountability flow, so AI improves the workflow, not just the activity.
Show the value: turn AI spending into results the business can measure, while making every successful implementation leave the enterprise more capable than before.
You do not need to be a technologist to use it. Built for AI is for executives, transformation leaders, consultants, and managers at every level who have to make AI actually work inside real organizations.
Intelligence can be rented by the token. Enterprise capability must be built.
Organizations will not be defined by the AI they deploy. They will be defined by the enterprise they become.